Programs
- M. Tech. in Automotive Engineering -Postgraduate
- BBA (Honours) – Digital Marketing and Artificial Intelligence -Undergraduate
The Integrated BCA–MCA in Artificial Intelligence & Data Science at Amrita Mysuru is a five-year, structured academic pathway designed for students who aspire to build intelligent, data-driven systems and lead in emerging AI domains.
Artificial Intelligence is transforming industries across healthcare, finance, robotics, cybersecurity, manufacturing, and digital ecosystems. This program integrates strong computing foundations with advanced AI, Machine Learning, Big Data, and Generative AI technologies.
Students graduate with a specialized MCA degree in Artificial Intelligence & Data Science, equipped with both technical depth and research capability.
5 Years | 10 Semesters | Direct MCA Degree with AI Expertise
Amrita Vishwa Vidyapeetham has not appointed any Agent or Third-Party Client for securing admission in any programme. Students are hereby requested to contact only the toll-free number on our website for any admission related queries.
– Issued in Public Interest by Directorate of Admissions and Academic Outreach
Semester IX introduces Generative AI and Intelligent Systems, preparing students for next-generation AI innovation.
These years establish the core engineering base required for AI system development
Students begin structured specialization in AI and data-driven technologies.
The final phase emphasizes advanced model development, research orientation, and real-world AI deployment.
This program is ideal for students who:
(Students without Mathematics background may be required to undergo a bridge module as per university norms, if applicable.)
| Integrated MCA (AI & Data Science) | Merit (Yearly) | Management (Yearly) |
| Tuition Fee | 1,05,000 | 1,46,000 |
| Caution Deposit (One time) | 4,000 | 4,000 |
| Total (₹) | 1,09,000 | 1,50,000 |
Note: Additional Tuition Fee* of Rs.70,000/- for 4th & 5th year
| Hostel | Yearly |
| Caution Deposit (One Time) | 3,000 |
| Hostel Fee | 35,000 |
| Mess Fee | 49,000 |
| Total (₹) | 87,000 |
| Mandatory Health Check up Card Payable to AKH Hosptal | 750 |
*Note: Hostel fee will be high, if only two students are accommodated in a room
* Refund policy
* GST will be applicable on Admission withdrawals
* No refund of hostel fee * Above fee DOES NOT include expenses for food, travel, accommodation for Field and Study Trips, participation in events and conferences, programmes / competitions, Internships, Portfolio Presentation and Printing booklet, Special Internship, Placement Trips, Projects / Dissertation, excursion, etc. subject to change whenever required.
| Additional School Fee |
| Examination fee (Rs.3,000/sem) |
| One-time Convocation Fee to be paid in the final year of the Degree Program |
| Included in the Fee |
| Two sets of Uniform for All UG Students |
The program follows a lab-intensive, research-supported approach:
Students graduate with both industry-ready skills and research exposure.
Graduates can pursue roles such as:
This specialization positions students for high-growth careers in advanced technology sectors.
| Course Code | Title | L T P | Credit |
| 22ADM101 | Foundations of Indian Heritage | 2 0 1 | 2 |
| 24ENG101 | English I | 2 0 0 | 2 |
| Language 1 | 2 0 0 | 2 | |
| Mathematics for Computing 1 | 3 1 0 | 4 | |
| 22AVP103 | Mastery Over Mind | 1 0 2 | 2 |
| Environmental Studies | 2 0 0 | 2 | |
| Computer Fundamentals and Digital Electronics | 3 0 2 | 4 | |
| Programming Fundamentals | 3 1 0 | 4 | |
| Programming Foundation Lab | 0 0 2 | 1 | |
| Linux Programming | 0 0 2 | 1 | |
| Total | 24 |
| Course Code | Title | L T P | Credit |
| 22ADM111 | Glimpses of Glorious India | 2 0 1 | 2 |
| 24ENG111 | English II | 1 0 2 | 2 |
| Language II | 2 0 0 | 2 | |
| Mathematics for Computing II | 3 1 0 | 4 | |
| Object-Oriented Programming using Java | 3 1 0 | 4 | |
| Computer Organization and Architecture | 3 1 0 | 4 | |
| Database Management System | 3 0 0 | 3 | |
| Object-Oriented Programming using Java LAB | 0 0 2 | 1 | |
| Database Management System LAB | 0 0 2 | 1 | |
| User Interface Design | 0 0 2 | 1 | |
| Total | 24 |
| Course Code | Title | L T P | Credit |
| Amrita Value Programme 1 | 1 0 0 | 1 | |
| Mathematics for Computing III | 3 1 0 | 4 | |
| Data Structures | 3 1 0 | 4 | |
| Operating Systems | 3 0 0 | 3 | |
| Introduction to Python | 3 0 0 | 3 | |
| Web Technologies | 2 0 2 | 3 | |
| Computer Networks | 3 0 2 | 4 | |
| Data Structures Lab | 0 0 2 | 1 | |
| Python Programming Lab | 0 0 2 | 1 | |
| Total | 24 |
| Title | L T P | Credit |
| Amrita Values Programme II | 1 0 0 | 1 |
| Live in Labs II/ Open Elective | 3 0 0 | 3 |
| Full Stack Frameworks | 3 0 0 | 3 |
| Software Engineering & UML | 2 0 2 | 3 |
| Fundamentals of AI | 3 0 0 | 3 |
| Full Stack Frameworks Lab | 0 0 2 | 1 |
| Elective I | 3 | |
| Elective II | 3 | |
| Elective III | 4 | |
| Total | 24 |
| Course Code | Title | L T P | Credit |
| Live in Labs/ Open Elective | 3 0 0 | 3 | |
| Mobile Application Development | 0 1 2 | 2 | |
| Algorithms | 3 0 0 | 3 | |
| 23LSK201 | Life Skills I | 1 0 2 | 2 |
| Algorithms Lab | 0 0 2 | 1 | |
| Competitive Programming | 0 1 2 | 2 | |
| Elective IV | 3 | ||
| Elective V | 4 | ||
| Minor Project/ Internship | 4 | ||
| Total | 24 |
| Title | L T P | Credit |
| Automata Theory and Compiler Design | 3 1 0 | 4 |
| Elective VI | 3 | |
| Elective VII | 3 | |
| Elective VIII | 4 | |
| Major Project/ Internship | 6 | |
| Total | 20 |
| Title | L T P | Credit |
| Mathematics for Computing IV | 3 1 0 | 4 |
| Advanced-Data Structures | 3 0 0 | 3 |
| Advanced JAVA and J2EE | 3 0 0 | 3 |
| Programming for Problem Solving | 3 0 0 | 3 |
| Advanced DBMS | 3 0 0 | 3 |
| Advanced-Data Structures Lab | 0 0 2 | 1 |
| Advanced JAVA and J2EE Lab | 0 0 2 | 1 |
| Programming for Problem Solving Lab | 0 0 2 | 1 |
| Advanced DBMS Lab | 0 0 2 | 1 |
| Elective IX | 3 0 0 | 3 |
| Life Skills II | 0 0 1 | 1 |
| Total | 24 |
| Title | L T P | Credit |
| Design and Analysis of Algorithms | 3 1 0 | 4 |
| Principles and Implementation of Design Patterns | 3 0 2 | 4 |
| Problem Formulation & Research Tools | 0 0 2 | 1 |
| Advanced Programming Using Python | 3 0 0 | 3 |
| Design and Analysis of Algorithms Lab | 0 0 2 | 1 |
| Advanced Programming Using Python Lab | 0 0 2 | 1 |
| Elective X | 4 | |
| Life Skills III | 0 0 1 | 1 |
| Total | 25 |
| Title | L T P | Credit |
| Generative AI and Intelligent Systems | 3 1 0 | 4 |
| Elective XI | 4 | |
| Elective XII | 4 | |
| Elective XIII | 3 | |
| Dissertation Phase I | 6 | |
| Total | 21 |
| Title | Credit |
| Dissertation Phase II | 12 |
| Total | 12 |
| Title | L T P | Credit |
| Algebra and Number Theory | 3 1 0 | 4 |
| Mathematical Foundation | 3 1 0 | 4 |
| Advanced Mathematical Foundation | 3 1 0 | 4 |
| Linear Algebra | 3 1 0 | 4 |
| Statistical and Numerical Methods | 3 1 0 | 4 |
| Sl. No. | Course Code | Course Title | L T P | Credits |
|
Paper I |
||||
| 1 | 24MAL101 | Malayalam I | 2 0 0 | 2 |
| 2 | 24HIN101 | Hindi I | 2 0 0 | 2 |
| 3 | 24KAN101 | Kannada I | 2 0 0 | 2 |
| 4 | 24SAN101 | Sankrit I | 2 0 0 | 2 |
| 5 | 24TAM101 | Tamil I | 2 0 0 | 2 |
| 6 | 24ENG100 | Additional English – I | 2 0 0 | 2 |
|
Paper II |
||||
| 7 | 24MAL111 | Malayalam II | 2 0 0 | 2 |
| 8 | 24HIN111 | Hindi II | 2 0 0 | 2 |
| 9 | 24KAN111 | Kannada II | 2 0 0 | 2 |
| 10 | 24SAN111 | Sanskrit II | 2 0 0 | 2 |
| 11 | 24TAM111 | Tamil II | 2 0 0 | 2 |
| 12 | 24ENG110 | Additional English – II | 2 0 0 | 2 |
AI & DS Stream
| Sl. No. | Course Title | L T P | Credits |
| 1 | Python for AI & DS | 2 0 2 | 3 |
| 2 | Introduction to Neural Networks | 3 0 0 | 3 |
| 3 | Fundamentals of Data Science | 2 0 2 | 3 |
| 4 | Applied Statistics for Data Science | 3 0 0 | 3 |
| 5 | Computer Vision Basics | 2 0 2 | 3 |
| 6 | Ethics and Data Privacy | 3 0 0 | 3 |
| 7 | Data Governance | 3 0 0 | 3 |
| 8 | Big Data Foundations | 3 0 0 | 3 |
IoT & Embedded Systems Stream
| Sl. No. | Course Code | Course Title | L T P | Credits |
| 1 | Introduction to IoT | 3 0 0 | 3 | |
| 2 | IoT Programming | 2 0 2 | 3 | |
| 3 | IoT Network Basics | 3 0 0 | 3 | |
| 4 | IoT Security Fundamentals | 3 0 0 | 3 | |
| 5 | Fundamentals of Edge Computing | 3 0 0 | 3 | |
| 6 | Industrial Internet of Things | 3 0 0 | 3 |
AI & DS Stream
| Sl. No. | Course Title | L T P | Credits |
| 1 | Machine Learning Basics | 3 0 2 | 4 |
| 2 | Computational Intelligence | 3 0 2 | 4 |
| 3 | Time Series Analysis | 3 0 2 | 4 |
| 4 | Non-Relational Databases | 3 0 2 | 4 |
| 5 | R Programming | 3 0 2 | 4 |
| 6 | Probability & Statistics for ML | 3 1 0 | 4 |
IoT & Embedded Systems Stream
| Sl. No. | Course Title | L T P | Credits |
| 1 | Introduction to Embedded system | 3 1 0 | 4 |
| 2 | Embedded C Programming | 3 1 0 | 4 |
| 3 | Firmware Development | 3 1 0 | 4 |
| 4 | Wireless Sensor Networks | 3 1 0 | 4 |
| 5 | IoT Application Development | 3 1 0 | 4 |
AI & DS Stream
| Sl. No. | Course Title | L T P | Credits |
| 1 | Deep Learning | 3 0 0 | 3 |
| 2 | Linear Algebra and Applications | 3 0 0 | 3 |
| 3 | Artificial Intelligence | 3 0 0 | 3 |
| 4 | Database Administration | 3 0 0 | 3 |
| 5 | Information Retrieval | 3 0 0 | 3 |
| 6 | Information Science and Ethics | 3 0 0 | 3 |
| 7 | Pattern Recognition | 3 0 0 | 3 |
| 8 | Recommendation Systems | 3 0 0 | 3 |
| 9 | Web Mining | 3 0 0 | 3 |
| 10 | Business Analytics and Visualization | 3 0 0 | 3 |
| 11 | Computational Intelligence | 3 0 0 | 3 |
IoT & Embedded Systems Stream
| Sl. No. | Course Title | L T P | Credits |
| 1 | Embedded Operating Systems | 3 0 0 | 3 |
| 2 | Cloud IoT Platforms | 3 0 0 | 3 |
| 3 | Embedded Linux porting with Yocto | 2 0 2 | 3 |
| 4 | IoT Data Analytics | 2 0 2 | 3 |
| 5 | Embedded C Programming II | 2 0 2 | 3 |
AI & DS Stream
| Sl. No. | Course Title | L T P | Credits |
| 1 | Data Modelling and Visualization | 3 0 2 | 4 |
| 2 | Exploratory Data Analysis | 3 0 2 | 4 |
| 3 | Data Mining and Applications | 3 0 2 | 4 |
| 4 | Machine Learning | 3 0 2 | 4 |
| 5 | Big Data Analytics | 3 0 2 | 4 |
| 6 | Natural Language Processing | 3 0 2 | 4 |
| 7 | NLP for Robotics | 3 0 2 | 4 |
| 8 | Large Language Models | 3 0 2 | 4 |
| 9 | Computer Vision | 3 0 2 | 4 |
| 10 | Generative AI | 3 0 2 | 4 |
IoT & Embedded Systems Stream
| Sl. No. | Course Title | L T P | Credits |
| 1 | Embedded application development in Linux I | 3 0 2 | 4 |
| 2 | Embedded application development Linux II | 3 0 2 | 4 |
| 3 | AI-IoT Application | 3 0 2 | 4 |
| 4 | AI-IoT Application Framework development | 3 0 2 | 4 |
| 5 | Cloud Integration for IoT | 3 0 2 | 4 |
| Course Code | Title | L-T-P | Credits |
| 22ADM201 | Strategic Lessons from Mahabharata | 1-0-0 | 1 |
| 22ADM211 | Leadership from Ramayana | 1-0-0 | 1 |
| 22AVP210 | Kerala Mural Art and Painting | 1-0-0 | 1 |
| 22AVP201 | Amma’s Life and Message to the modern world | 1-0-0 | 1 |
| 22AVP204 | Lessons from the Upanishads | 1-0-0 | 1 |
| 22AVP205 | Message of the Bhagavad Gita | 1-0-0 | 1 |
| 22AVP206 | Life and Message of Swami Vivekananda | 1-0-0 | 1 |
| 22AVP207 | Life and Teachings of Spiritual Masters of India | 1-0-0 | 1 |
| 22AVP208 | Insights into Indian Arts and Literature | 1-0-0 | 1 |
| 22AVP213 | Traditional Fine Arts of India | 1-0-0 | 1 |
| 22AVP214 | Principles of Worship in India | 1-0-0 | 1 |
| 22AVP215 | Temple Mural Arts in Kerala | 1-0-0 | 1 |
| 22AVP218 | Insights into Indian Classical Music | 1-0-0 | 1 |
| 22AVP219 | Insights into Traditional Indian Painting | 1-0-0 | 1 |
| 22AVP220 | Insights into Indian Classical Dance | 1-0-0 | 1 |
| 22AVP221 | Indian Martial Arts and Self Defence | 1-0-0 | 1 |
| 22AVP209 | Yoga and Meditation | 1-0-0 | 1 |
The top reasons to choose Amrita for your career
Mysuru Campus (Only Admission Enquiry)
Admission Convenor
Mobile: +91 9945531123
Email: admissions@my.amrita.edu
Admission Team
Phone: +(0821) – 2548600
Mobile : +91 8792911234
+91 8951311234 +91 8296230123
+91 8296220123
Email: mysuruadmissions@amrita.edu
